LogicForest

Package: LogicForest
Type: Package
Title: Logic Forest
Version: 2.1.0
Date: 2014-09-18
Author: Bethany Wolf
Maintainer: Bethany Wolf <wolfb@musc.edu>
Depends: R (>= 2.10), LogicReg, CircStats
Imports: gtools, plotrix
Description: Two classification ensemble methods based on logic regression models. LogForest uses a bagging approach to construct an ensemble of logic regression models. LBoost uses a combination of boosting and cross-validation to construct an ensemble of logic regression models. Both methods are used for classification of binary responses based on binary predictors and for identification of important variables and variable interactions predictive of a binary outcome.
License: GPL-2
Packaged: 2014-09-18 18:56:11 UTC; wolfb
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-19 00:46:31

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'LogicForest' ...
** package 'LogicForest' successfully unpacked and MD5 sums checked
** R
** data
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'LogicForest'
    finding HTML links ... done
    BoostVimp.plot                          html  
    CV.data                                 html  
    CV.err                                  html  
    CV.ids                                  html  
    LBoost.PIs                              html  
    LBoost                                  html  
    LBoost.fit                              html  
    LF.data                                 html  
    LF.testdata                             html  
    LogicForest-package                     html  
    Perm.PIimp                              html  
    Perms                                   html  
    PlusMinus.PIimp                         html  
    Pred.imp                                html  
    TTab                                    html  
    ada.pred                                html  
    ada.weights                             html  
    list.PIs                                html  
    logforest                               html  
    logforest.fit                           html  
    p.combos                                html  
    persist.match                           html  
    persistence.plot                        html  
    persistence.prep                        html  
    pimp.import                             html  
    pimp.mat                                html  
    predict.LBoost                          html  
    predict.logforest                       html  
    prime.imp                               html  
    print.LBoost                            html  
    print.LFprediction                      html  
    print.logforest                         html  
    proportion.positive                     html  
    submatch.plot                           html  
    subs                                    html  
    vimp.plot                               html  
** building package indices
** testing if installed package can be loaded
* DONE (LogicForest)
Making 'packages.html' ... done